Fudan University-Guangzhou Innogen Pharmaceutical Group Co., Ltd. Joint Postdoctoral Recruitment (AI-driven innovative drug discovery for metabolic diseases)
- Training goals and platform positioning
Fudan University and Guangzhou Innogen Pharmaceutical Group Co., Ltd. jointly built an "artificial intelligence + biomedicine" postdoctoral training platform to cultivate comprehensive innovative talents with AI computational thinking, metabolic disease mechanism research capabilities and practical experience in drug transformation in line with the national metabolic disease prevention and control and biomedicine innovation strategies.
Guangzhou Innogen Pharmaceutical Group Co., Ltd. focuses on the research and development of innovative drugs for metabolic diseases. The independently developed isupaglutide α has been successfully launched. It is the first new-generation human-derived ultra-long-acting GLP-1 drug in Asia and the third in the world. As China's top scientific research institution, Fudan University has leading advantages in the fields of life sciences, medicine, materials science and artificial intelligence, providing postdoctoral researchers with an excellent scientific research ecosystem and talent training environment.
- Expert Steering Group
Postdoctoral fellows will be jointly guided by multidisciplinary experts from “medicine-engineering-pharmacy-computing”; the guiding experts include:
- Professor Wang Qinghua (Founder of Guangzhou Innogen Pharmaceutical Group Co., Ltd.) is a nationally appointed professor, the inventor of isupaglutide α and a number of innovative macromolecule drugs, and has long been a leader in translational medical research and industrialization of metabolic diseases.
- Professor Dou Dejing (Fudan University) is a national leading talent, an internationally renowned expert in the field of health artificial intelligence, and one of the top 2% lifelong scientific influential scholars in the world. He provides cutting-edge AI methodological guidance for projects.
- Professor Yu Lin (Fudan University) An authority in the field of biomedical materials and drug delivery, supporting the engineering and formulation optimization of drug candidates.
- Job Responsibilities
- Carry out target discovery, macromolecule drug design and mechanism research related to metabolic diseases.
- Develop and optimize AI/machine learning models to solve key scientific issues in drug development for metabolic diseases.
- Conduct protein engineering and druggability optimization research to enhance the development potential of drug candidates.
- Participate in the analysis and translational research of real clinical trials and multi-omics data.
- Participate in the construction of database and algorithm platforms to promote efficient use of R&D data.
- Publish high-quality papers, apply for patents, and participate in domestic and foreign academic exchanges.
- Candidate qualifications
Prerequisites:
- Obtained or about to obtain a doctoral degree in the past 3 years, majoring in life sciences, medicine, pharmacy, biomedical engineering, AI/computing, bioinformatics, molecular/cell biology and other related fields.
- Strong interest in metabolic disease research or AI-enabled drug development.
- Have good scientific research ability, interdisciplinary communication skills and teamwork spirit.
- Have good English reading and writing skills and scientific research output.
Priority conditions:
- Experience with AI/ML-assisted drug design, bioinformatics, or clinical data analysis.
- Ability to program in Python/R.
- Experience in metabolic diseases, diabetes, obesity and other related topics.
- Salary and Development
- The remuneration package is implemented in accordance with the postdoctoral policies of Fudan University and Shanghai, and you will also enjoy corporate performance rewards.
- Provide real clinical trials and metabolic disease cohort data, which is conducive to the production of high-quality results.
- Fully support postdoctoral application funds, talent plans and scientific research projects.
- Those with outstanding performance may be given priority to join Guangzhou Innogen Pharmaceutical Group Co., Ltd. or enter universities/hospitals for further development.
- Application method
Please send the following materials to: [email protected] Email subject: "Postdoctoral Application + Name + Research Direction".
Materials include:
- Resume
- Proposed research proposal (1–2 pages)
- Representative papers or results
- Recommender’s contact information or letter of recommendation
- Estimated arrival time
We will conduct rolling reviews and select the best. Welcome to join Fudan University and Guangzhou Innogen Pharmaceutical Group Co., Ltd. to jointly promote the research and development of innovative drugs empowered by AI for metabolic diseases.